{"id":"W1965259523","doi":"10.3138/jvme.38.2.123","title":"The Information Infrastructure that Supports Evidence-Based Veterinary Medicine: A Comparison with Human Medicine","year":2011,"lang":"en","type":"review","venue":"Journal of Veterinary Medical Education","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health; National Institute for Health and Care Research","keywords":"MEDLINE; Evidence-based medicine; Medicine; Knowledge translation; Intervention (counseling); Alternative medicine; Psychological intervention; Systematic review; Medical education; Knowledge management; Pathology; Computer science; Nursing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1686282,0.000561917,0.002523631,0.0281618,0.002467731,0.02598472,0.003223989,0.004555714,0.007641769],"category_scores_gemma":[0.3657973,0.001032217,0.002000755,0.0355107,0.01207881,0.02913444,0.01247719,0.003837659,0.001011012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01648286,"about_ca_system_score_gemma":0.06052272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006770434,"about_ca_topic_score_gemma":0.006146761,"domain_scores_codex":[0.750274,0.176741,0.03267991,0.004719155,0.03088438,0.004701488],"domain_scores_gemma":[0.3081219,0.5888751,0.05010316,0.02286904,0.02366222,0.006368527],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005507673,0.000293622,0.0241271,0.0891907,0.001212191,0.0006190347,0.01787796,0.001804685,0.0008993135,0.3211443,0.01296769,0.5293126],"study_design_scores_gemma":[0.0004391549,0.001241881,0.07538249,0.1793003,0.002312076,0.001624241,0.01906454,0.00128779,0.001739725,0.1412008,0.5761027,0.0003041964],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04372035,0.5512685,0.03746768,0.243513,0.002396434,0.001569698,0.002256674,0.0005234216,0.1172842],"genre_scores_gemma":[0.5891173,0.2774005,0.1015853,0.02322064,0.002864157,0.002003206,0.001969608,0.0002168824,0.001622327],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8313718,"threshold_uncertainty_score":0.891802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4943172243759859,"score_gpt":0.6028047267745404,"score_spread":0.1084875023985545,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}